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https://issues.apache.org/jira/browse/SPARK-38588?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng updated SPARK-38588:
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Summary: Validate input dataset of ml.classification (was: Validate input
dataset of LinearSVC)
> Validate input dataset of ml.classification
> -------------------------------------------
>
> Key: SPARK-38588
> URL: https://issues.apache.org/jira/browse/SPARK-38588
> Project: Spark
> Issue Type: Sub-task
> Components: ML
> Affects Versions: 3.4.0
> Reporter: zhengruifeng
> Priority: Major
>
> LinearSVC should fail fast if the input dataset contains invalid values.
>
> {code:java}
> import org.apache.spark.ml.feature._
> import org.apache.spark.ml.linalg._
> import org.apache.spark.ml.classification._
> import org.apache.spark.ml.clustering._
> val df = sc.parallelize(Seq(LabeledPoint(1.0, Vectors.dense(1.0,
> Double.NaN)), LabeledPoint(0.0, Vectors.dense(Double.PositiveInfinity,
> 2.0)))).toDF()
> val svc = new LinearSVC()
> val model = svc.fit(df)
> scala> model.intercept
> res0: Double = NaN
> scala> model.coefficients
> res1: org.apache.spark.ml.linalg.Vector = [NaN,NaN] {code}
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